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[36] Analysis of Age, Gender ratio, Emotion, Density of Pedestrians in Urban Street Space with Image Recognition

- Case Study Mainly Around Shibuya Station -

○Shungo Noji¹, Tatsuya Kishimoto¹ (1. Keio University Faculty of Science and Technology System Design Engineering)

Keywords:street space, face recognition, pedestrians, emotion, deep learning, Shibuya

Recently, there have been a number of services that utilize Artificial Intelligence and it resulted in development of new image recognition systems. However, there are few researches that analyze geographic features in urban street space with photographs directly taken there and face recognition system using Artificial Intelligence. We made a research analyzing pedestrians’ activities mainly in Shibuya. As a result of our research, we revealed the feature of urban street space mainly in Shibuya in terms of people`s age, gender, emotion and density. This result can be used to make better urban city design and shows the effectiveness of this new way of monitoring feature of people in a certain street space.